基于数据分析和BOPPPS教学模式的学习效果评价

Zhaomin Li, Shangheng Zhou
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引用次数: 0

摘要

本文以《数据挖掘》中的“协同过滤”内容为例,探讨了基于BOPPPS模型的课程教学设计方法,提出了以学生为中心的教学设计理念,鼓励学生自主学习,充分挖掘学生的能力。实现学习者个性化学习需求的互动式教学实践,实现从已知到未知的自然过渡。结果表明,BOPPPS的六环节教学模式能有效激发学生的学习兴趣,增强学生的自主学习意识。提高实践能力,从而大大提高教学效果。CCS概念•应用计算~教育~计算机辅助教学
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of learning effect based on data analysis and BOPPPS teaching model
This paper takes the content of "Collaborative Filtering" in "Data Mining" as an example, discusses the method of course teaching design based on the BOPPPS model, puts forward a student-centered teaching design concept, encourages students to learn independently, and fully taps students' abilities. Interactive teaching practice that realizes the needs of learners' personalized learning and realizes the natural transition from the known to the unknown. The results show that the six-link teaching mode of BOPPPS can effectively stimulate students' interest in learning and strengthen their awareness of autonomous learning. Improve the practical ability, thereby greatly improving the teaching effect. CCS CONCEPTS • Applied computing ∼ Education ∼ Computer-assisted instruction
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